Additional to experiments stated, we test our algorithm with a more complex model. We consider ResNet18 [1]} structure on CIFAR-10 IID, 100 devices, balanced data, \(10\%\)  participation setting. Batch normalization layers have inherent statistics which can be problematic in FL. Therefore, we use group normalization [2]} instead of Batch normalization in ResNet18. The convergence curves are shown in Figure REF . FedDyn still outperforms the baseline methods in a higher capacity model setup.
